System for formulating temporal bases for operation of processes for process coordination

ABSTRACT

A novel approach to coordinate processes in a process environment includes establishing a coherent temporal and resource framework for operation of selected processes in order to formulate a basis for coordination. A key aspect of the present innovation includes the novel techniques for coordinating processes including transmission of electromagnetism and transmission of electromagnetic radiation in a process environment by effecting periodic interruptions, based upon the abovementioned coherent temporal and resource framework, while maintaining the required operational and safety procedures.

FIELD OF INVENTION

The present invention relates to process coordinating systems, and moreparticularly, to establishing the respective temporal states inprocesses, including in facets of electromagnetism and electromagneticradiation, corresponding with their respective resource utilisations andoutcome in order to facilitate formulating a coherent basis for processmanagement.

BACKGROUND

Coordinating processes is a key prerequisite in optimising resourceutilisation and outcome. Coordinating processes in a coherent manner,however, has continued to pose major challenges. Inability to fullyovercome these challenges has resulted in substantial additional usageof resources and below optimum outcome as well. In this context, thechallenges related to coordinating processes that are vastly differentin temporal scales and resource scales in terms of coherent temporal andresource frameworks can be identified as one possible area that demandsfurther examination.

While there has been much progress in coordinating operation ofprocesses towards optimising the resources and outcome, the lack ofcoherent frameworks that have the capacity to coordinate operation ofprocesses is evident through common examples of process management suchas supplying of electricity and obtaining kinetic energy, for instance,in the operation of an electric motor. As evident through this typicalillustration, the present approaches have to take the premise that thebest possible way to coordinate operation of these processes is toensure electricity is supplied ‘all the time’, despite the fact thattemporal scales and the corresponding resource scales in operation ofone process, namely, transmission of electrical energy and those of theresulting process—the motor speed due to kinetic energy—differ a greatdeal is widely known.

The key technical problem addressed by the proposed innovation can beoutlined in relation to abovementioned lack of coherent frameworksmainly due to the fact that widely adopted approaches in the field ofprocess management so far do not provide sound bases for incorporationof operation of processes that occur in temporal extents shorter thanthe smallest time unit adopted in such approaches (e.g. the operationalsteps in computing based process management systems), for example,transmission of electricity in an equipment, formulation of a pluralityof microscopic scale bonds in a chemical process and transmission of anelectromagnetic radiation beam in a device (e.g. an Infrared beam in adevice) as entities in terms of a common temporal scale together withtheir respective associated processes. Due to lack of such bases forincorporating operation of these processes in terms of a common temporalscale, differentiation of their respective temporal extents (e.g.differentiations between a specific duration of supply of electricityand a specific duration of maintaining required kinetic energy in motor)on a consistent and robust context specific manner has not been possibleso far, resulting in remarkably sub optimum utilisation of resources andoutcome as well.

The present innovation as its technical solution to the problem outlinedabove discloses a computing based generic approach that facilitatesincorporating operation of such processes as quantifiable entities interms of a common temporal scale, thus establishing a coherent frameworkfor coordinating operation of different processes that have variedtemporal scales, namely, those occurring in temporal extents shorter aswell as longer than its variable operational step enabling its adoptionin a wide range of practical applications and advantageous as furtherdescribed in detailed description below.

BRIEF DESCRIPTION OF DRAWINGS

FIG. 1 illustrates a system that facilitates process coordination inaccordance with an aspect of the innovation

FIG. 2 illustrates a system that facilitates obtaining information onoperation of processes from a plurality of sources in accordance with anaspect of the innovation

FIG. 3A illustrates a schematic representation of the smallest scaleunits, the elemental unit and the conductive unit and the insulatedconductive unit that facilitate process coordination in accordance withan aspect of the innovation

FIG. 3B illustrates a schematic representation of one of the smallestscale components, the elemental device that facilitates processcoordination in accordance with an aspect of the innovation

FIG. 3C illustrates a schematic representation of one of the smallestscale components, the elemental component, that facilitates processcoordination in accordance with an aspect of the innovation

DETAILED DESCRIPTION

The innovation is now described with reference to the drawings, whereinthe reference numerals are used to refer to the same elementsthroughout. Specific details are set forth in order to provide athorough understanding of the proposed innovation. Well known structuresand devices are shown in block diagram form in order to facilitatedescribing the innovation.

The terms ‘component’, ‘device’, ‘unit’, ‘engine’ and ‘system’ in thisapplication are intended to refer to a computing-related entity, eitherhardware, a combination of hardware and software, software or softwarein execution. For example, a system may be running on a processor or acontroller, a processor, an object, an executable, a program, and/or acomputing component. Both an application running on a server and theserver can be a system. One or more systems can reside within a threadof execution, and a system can be localised on one location and/or,distributed between two or more locations. Each of the physicalcomponents in the system (100), unless otherwise mentioned, isaccompanied by a variable clock apiece.

The term temporal state in the context of the present application refersto a derivation in the time dimension. A temporal state, while having aduration may also have a resource value. The term processes in thecontext of the proposed innovation refers to operations microscopicthrough macroscopic scales that are either physical in nature, forexample, wave propagations and energy transfers, or involving chemicaltransformations, or both. A process may comprise one or more otherprocesses. The term operation refers to occurring of a process, eitherindividually or in conjunction with any of the other selected process,and in the context of the present innovation the terms operation ofprocess and process derive similar meanings unless otherwise mentioned.

The terms process coordinating and process coordination refer toobtaining and analysing the information on operation of a plurality ofprocesses, microscopic through macroscopic scales, and establishing saidinformation in terms of a common temporal basis in order to facilitateconducting these processes with optimum performance in a resource savingmanner. For the purpose of the present innovation, the term obtaininginformation on processes refers to receiving and transferring saidinformation for analysis. In the context of the present innovation, theterm process environment refers to pluralities of processes wherein theplurality of information on their operation disclose interrelations andthe patterns of the interrelations that commensurate with one or moreidentifiable outcome. While the processes in a process environment mayor may not be in the one and same physical setting, the information oftheir operation as obtained by the novel instruments of the presentinnovation provides the rationale to be included, thus.

As set out for the purpose of outlining the present innovation, whilethe terms information and data derive similar meanings in the sense thatboth carry information, in the usage of the terms herein, however,information has been used to identify the contexts outside the system,i.e. before processing by the system, whereas the term data refers tocontexts within the system, i.e. after processing. The term datahandling encompasses transferring, processing, storing and communicatingas an out put.

As used herein the terms to infer and inference refer generally to theprocess of reasoning about or inferring states of the processenvironment, and/or from a set of observations, as captured throughevents and/or information. Inference may be employed to identify aspecific context or action, or, for example, can generate a probabilitydistribution over states. The inference can be probabilistic, or thecomputation of a probability distribution over states, based on aconsideration of information gathered. Inference may also refer toinstruments employed for composing higher level action from a set ofinformation. Such inference results in the construction of new actionsfrom a set of observed and/or stored information, irrespective ofwhether they are correlated in close temporal proximity or not, andwhether they originated from one or several sources.

In the context of the present innovation, the instruments that utilisesuch inferences based on analyses of observed and/or stored informationas a basis for new actions, for example, in process coordinating of anelectric motor, seek the formulation of these bases for action beyondthe limitations in identifying the interrelations of the processes posedby predetermined formalisations. While recognising that theseformalisations provide insights into the interrelations and theirpatterns, for example, behavioural patterns of different chargedparticles and/or wave propagation (e.g. in the energising coils and inthe rotating central core in a motor and in the electromagneticradiation beam in an Infrared based device) commonly understood to bedue to the different reference frames, deriving from theoreticalframework provided by the theories on relativity, it must be mentioned,that it has been a challenging task, so far, to utilise them toformulate such a wide range of interrelations and their patterns foraction in order to optimise resource usage and outcome. This isevidenced through the rather limited usage of such formalisations (e.g.formalisations deriving from theoretical framework provided by thetheories of relativity) in incorporating these interrelations into thepresent designs and operation of applications based on electromagnetism(e.g. electric motors), for instance.

Reference the drawings FIG. 1 illustrates a system (100) thatcoordinates a plurality of predetermined processes in a processenvironment (001). As revealed in FIG. 1, the system (100) includes aprocess coordinating component (101) that is connected with a pluralityof sources (150) at the respective operational units (300) in theprocess environment (001) for obtaining information on a plurality ofsuch processes in order to facilitate conducting process coordinating.As the FIG. 1 illustrates the process coordinating component (101)further comprises a computing component (250) that employs a pluralityof statistical and probabilistic analytical engines (SPAE) (275) forprocessing information obtained through the sources (150) in order toconduct process coordinating. The process coordinating component (101),as shown in FIG. 1, is further connected to a plurality of activatingcomponents (280) that transfer instructions formulated by the computingcomponent (250) and the statistical and probabilistic engines (SPAE)(275) to a plurality of respective controlling components (290) thatinitiate and interrupt selected operations at the correspondingoperational units (300).

One major overall goal of the present innovation is to enable the system(100) to establish a common temporal basis for operation of a pluralityof selected processes in the process environment (001) including thoseoccurring in durations lesser than the shortest variable of the variableoperational step of said system (100) such as facets of electromagnetismand electromagnetic radiation, in order for said system (100) forfacilitating coordinating these processes effectively with optimumperformance in a resource saving manner.

In accordance with the present innovation, as illustrated in FIG. 1, thenovel techniques adopted therein facilitate obtaining information on aplurality of processes in the process environment (001) for conductingprocess coordinating. As further shown in FIG. 1, the information onprocesses obtained through sources (150) is received at a plurality ofcommunicating components (216) each accompanied by a punctuationincorporating component (217) coupled to a buffering component (230) inthe process coordinating component (101) which also comprises of aswitching component (155) that initiates the computing component (250)at receiving a signal from signaling component (225) upon information onthe predetermined processes reaching the sources (150).

In one key aspect of the present innovation, as FIG. 2 illustrates, eachof the sources (150) includes a plurality of processing components (221)and a buffering component (230) for transferring information on theseprocesses based on the instructions by the computing component (250) andthe statistical and probabilistic engines (SPAE) (275). As FIG. 2further illustrates, each of the processing components (221) comprises aplurality of reference characteristic identifying components (224),signaling components (225), reference characteristic receivingcomponents (226), reference characteristic modificating components(227), communicating components (216) each accompanied by a punctuationincorporating component (217). In accordance with the presentinnovation, a signal transferred from a signaling component (225) uponcommencing of information reaching the component (224) is received atthe switching component (155), initiating the computing component (250)and the statistical and probabilistic engines (SPAE) (275) of theprocess coordinating component (101) to establish commands foractivating information obtaining at sources (150).

In one key aspect of the present innovation, the plurality of datareceived from the sources (150) on selected processes are analysed interms of the variable operational step of the computing component (250)and the statistical and probabilistic analytical engines (SPAE) (275).In conducting process coordination, in accordance with the presentinnovation in a process environment, for example, in an electric motor,information on selected processes is obtained and analyses are made,including on transmission of electricity that, in turn, produces otherfacets of electromagnetism (e.g. magnetic fluxes, inductance,electromagnetic forces) and the angular velocity of rotor throughsources (150) located at the respective operational units (300) (e.g.pluralities of segments in conducting coils and segments in rotor thatcreate facets of electromagnetism and kinetic energy—angular velocity).

While activating obtaining information on selected processes thecomputing component (250) and the statistical and probabilisticanalytical engine (SPAE) (275) analyse the selected pluralities ofreference characteristics (e.g. amplitude and frequency of voltagepulses obtained as information on the process of varying concentrationof ions, say, SO₄ ²⁻ ions, in an ionized media) of the respectiveinformation upon their receiving at the processing components (221) inorder to establish the interrelations and the patterns of theseinterrelations of said characteristics of the information in terms ofthe variable operational step of said computing component (250). Whilethe respective reference characteristics of the selected information areidentified by the corresponding reference characteristic identifyingcomponents (224) and the respective characteristics are received by therelevant reference characteristic receiving components (226), inaccordance with the present innovation, the computing component (250)based on the inferences by statistical and probabilistic analyticalengines (275) initiates instructions for effecting a plurality ofperiodic interruptions with dynamically determined durations to each ofsaid identifying by the respective characteristics by said components(224) and receiving by the corresponding characteristics by saidcomponents (226). In order to effect each of these interruptions,analyses of each of the identified characteristics by the respectivecomponents (224) and the transmissions of said characteristics betweenrespective components (224) and the components (226) are conducted interms of the variable operational step of the computing component (250).

In one key aspect of the present innovation, while each of the referencecharacteristics is identified by the relevant component (224) andreceived by the corresponding reference characteristic receivingcomponent (226), the analyses are conducted based upon the inferences bystatistical and probabilistic analytical engines (275) that establishthe interrelations and the patterns of interrelations among similaranalyses and their outcome, the computing component (250) instructs eachof the reference characteristic modificating components (227) on thenecessity and the extent to vary each of the corresponding referencesupon which the variable rate and the temporal extents of the analysingof each of the reference characteristics is based, as well as each ofthe durations at which the respective interruptions to transferring eachof said characteristics from each of the processing components (221) asdata to the process coordinating component (101) to be effected.

Based on the inferences of statistical and probabilistic analyticalengines (SPAE) that utilise the interrelations and patterns ofinterrelations of the above analyses and their outcome, the computingcomponent provides instructions to the respective referencecharacteristic receiving component (226) to transfer a signal to thecommunicating component (216) and its accompanying variable clock toformulate the data corresponding to the characteristics received at thecomponent (226) for transferring through the buffering component (230),to the process coordinating component (101).

In formulating said data, in accordance with the present innovation, thecomputing component (250) and the statistical and probabilisticanalytical engines (SPAE) (275) analyse the properties created uponreceiving the information at the component (226) to be formulated asdata, in order to establish the interrelations and the patterns of theinterrelations of the respective characteristics in terms of theirvariable operational step for instructing the communicating component(216) to incorporate optimum electrical characteristics, including ‘noelectricity’ characteristics and temporal characteristics and itsaccompanying punctuation incorporation component (217) to incorporatethe punctuations with corresponding electrical and temporalcharacteristics.

In accordance with the present innovation, in formulating data withthese optimum characteristics while optimising the supply of externalelectrical energy with specific temporal extents for the relevantcomponents and their parts in the system (100) and with differentcombinations of characteristics (e.g. voltage, current), these novelinstruments adopt the respective temporal extents of the interruption toand resumption of transmission of electricity, in order to diversify thebases of operation of data handling. In diversifying the bases ofoperation, these novel instruments utilise the multi-dimensionalcontributions of electricity in data handling in the system (100),namely, as a source of energy for operation of the system as well as informulating data states and the punctuations with dynamically determinedcharacteristics based on the temporal extents of interruptions to andsupplying of external electrical energy with variable electricalcharacteristics in different scales including elemental units (510) andthe pluralities of their compositions.

Thus, in one key aspect of the present innovation, these novelinstruments utilise the periodic interruptions to supply of energy, i.e.electricity, as an instrument to diversify the bases of operation indata handling, in terms of the temporal dimension as well as inelectrical characteristics. While the interruptions are of dynamicallydetermined durations, these novel instruments adopt the time dimensionand its units, derived from ‘no electrical signal’ durations, in orderto diversify the bases of operation of data handling. In diversifyingbases of data handling, the novel instruments adopted in the presentinnovation utilise supplying and interruptions to external electricalenergy that facilitates specific electromagnetic properties as amultifaceted tool wherein these external electrical energy inputs aredynamically varied, based upon the analyses, that disclose the temporalextents and the electrical energy variations (e.g. increases andreductions) required for transition from one dynamically determinedlevel of such properties (e.g. conductivity) to another dynamicallydetermined level in each of the components and their parts in the system(100). These novel instruments, based upon the analyses conducted by thecomputing component (250) and the statistical and probabilisticanalytical engines (275), maintain such properties in these units atdynamically determined levels (e.g. just below the lowest conductivitythreshold level, high conductivity level, well below lowest conductivitythreshold level) accounting for interrelations and their patterns of thetemporal extents and the external energy as well as the properties ofthe electrical signals, including no electrical signals, that areutilised for conducting different aspects of data handling (e.g.converting, transferring, processing, communicating).

Broadening the bases of operation, in terms of the temporal dimension,as well as the electrical characteristics, facilitate expanding thepossibilities and opportunities for more effective and energy efficientdata handling which in turn enable improving coordination of processes.

In accordance with the present innovation, the punctuation incorporatingcomponent (217) coupled to the modified communicating component (216)provide the punctuations to each of the data by effecting variations inelectrical characteristics for durations instructed by computingcomponent (250) based on the inferences by the statistical andprobabilistic analytical engines (SPAE) (275). These punctuationssignify the start and end of the data states and enables error handlingin data transfers as well as facilitating implementing logic functionsin analyzing and processing data conducted by the computing component(250) based on the inferences by the statistical and probabilisticanalytical engines (SPAE) (275). In one key aspect of the presentinnovation, similar to communicating components (216) in the system(100) that can perform sending and receiving the data, the punctuationincorporating components (217) assume both roles, namely, incorporatethese punctuations in sending, and, lock them in receiving data states.While the component (217) is performing both these tasks, the termspunctuation incorporating component and the punctuation lockingcomponent are used herein, to distinguish the specific task in relationto the stage of data handling. Since it is evident that when acommunicating component (216) is engaged in a task in data handling inthe system (100), a punctuation incorporating component (217) isassociated with it, it is not mentioned in describing more complexcontexts in the application of the present innovation.

The punctuations, mentioned supra, are effected by the punctuationincorporating component (217) that accompany the communicatingcomponent, each connected to a variable clock by incorporating dynamicvariations in punctuation intervals, while effecting variations ofelectrical characteristics for dynamically determined temporal extentsof not less than that of variable operational step of the modifiedcommunicating components, based on the instructions by the computingcomponent (250) derived upon the inferences of the statistical andprobabilistic analytical engines (SPAE) (275).

In error handling in these transfers from sources (150) to component(101), the computing component (250) and the statistical andprobabilistic analytical engines (SPAE) (275) receive a signal from thecommunicating component (216) in the process coordinating component(101), whether the specific transfer that includes the interruptions andeach of specific punctuations that correspond to the start and end ofeach of said interruptions has been received. The computing component(250) and the statistical and probabilistic analytical engines (SPAE)(275), in turn, instruct the transmitting communicating component (216)in the processing component (221), on the necessity of reconducting thetransfer to ensure that the specific data transfer is complete.

In accordance with the present innovation, these novel instrumentsutilising the novel features of obtaining information, mentioned supra,incorporate said transmission of different characteristics ofinformation (e.g. transmission of different characteristics ofinformation on electromagnetism in a plurality of segments in conductionmedia in an electric motor, transmission of different characteristics ofinformation on wave propagation in an Infrared based device) asprocesses in a specific process environment. Since a plurality oftransmission of information (e.g. transmission of information onmagnetic flux in a motor coil as voltage pulses, transmission ofinformation on Infrared wave propagation in an Infrared based device asvoltage pulses) occur in temporal extents lesser than the shortestvariable of operational steps of the computing component (250), in onekey aspect of the present innovation, the novel instruments facilitatetheir incorporation as quantifiable entities in said processenvironments by effecting periodic interruptions to said obtaininginformation based upon the variable operational step of the computingcomponent (250) and the statistical and probabilistic analytical engines(SPAE) (275) which, in turn, enables establishing robust bases forprocess coordinating across a wide range of different scales andapplications.

Since each of the selected processes in a subject process environment(001) is closely associated with the corresponding information on itsoperation, as mentioned supra, in one key aspect of the presentinnovation, these novel instruments by formulating said transmission ofinformation that occur in temporal extents lesser than the shortestvariable of operational steps of the computing component (250) asmeasurable entities in terms of the common temporal basis that adoptsthe variable operational step of the computing component (250) and thestatistical and probabilistic analytical engines (275) outline aframework for establishing said corresponding processes that take placein similar temporal extents that are lesser than said shortest variableof operational steps of the component (250) as quantifiable entities interms of said common temporal basis as well.

In the fields related to process coordinating such as classical andquantum mechanics, it is among the well established principles toidentify activities and processes in relation to time. In classicalphysics literature, while highlighting that it does not provide a‘fixed’ backdrop, time is understood as a vital aspect in both nonrelativistic and relativistic situations. In the field of quantummechanics, while making major advances in establishing formulations thatbroaden the understanding of the key properties, as well as theprobabilities of the microscopic scale ‘actors’ and ‘agents’ assumingthese properties, attributing for time has been part of well establishedprinciples among the different schools of thoughts associated with thediscipline. It is evident, thus, that the temporal dimension has widelybeen considered a vital aspect in formulating bases in processes inmicroscopic through macroscopic scales.

In one key aspect of the present innovation, in order to facilitateestablishing these processes on a common temporal basis, as mentionedsupra, the variable operational step of the computing component (250)and the statistical and probabilistic analytical engines (SPAE) (275) isadopted for the analysis of information on said processes in the subjectprocess environment (001). The novel instruments that conduct theseanalyses adopting the variable operational step of the computingcomponent (250) and the statistical and probabilistic analytical engines(SPAE) (275), in accordance with the present innovation, formulate theinterrelations and their patterns among said information on therespective processes based on said common temporal basis in order toderive the corresponding interrelations among the respective processesas well.

In situations where each of the reference characteristic identifyingcomponents (224) and each of the reference characteristic receivingcomponents (226) in obtaining information on specific processes adoptingthe shortest variable of the operational step of the computing component(250) and the statistical and probabilistic analytical engines (275) thespecific operations are complete (e.g. transmission of Infrared beamwithin a device), such processes are determined, for the purpose of thepresent innovation, to have occurred in temporal extents shorter thanthe shortest variable of said operational step of the component (250).

In order to utilise the interruptions to obtaining information forestablishing said interrelations and their patterns (e.g. interruptionsto obtaining information on a transmission of external electrical supplyin conducting coils in a motor) the interrelations and their patternsamong the plurality of information on the predetermined associationsamong the selected processes (e.g. magnetic flux, induction,electromagnetic forces and angular speed of rotor in a motorpredetermined as associated processes with transmission of externalelectricity in a motor, variations in ionized media predetermined as anassociated process with transmission of electromotive force in anelectrochemical cell), in one key aspect of the present innovation, areestablished while each of the processes of which obtaining informationis to be interrupted (e.g. transmission of electricity, transmission ofInfrared beam) is in operation based upon the variable operational stepof the computing component and the statistical and probabilisticanalytical engines (SPAE). Similarly, a plurality of information on saidassociated processes is obtained and analyses are conducted, inaccordance with the present innovation, during each of these periodicinterruptions to each of the selected obtaining information of theselected processes (e.g. supply of electricity to selected operationalunits of an electric motor, transmission of Infrared beam in a device)that occur in temporal extents shorter than the shortest variable of thevariable operational step of the computing component and the statisticaland probabilistic analytical engines. In one key aspect of the presentinnovation, these novel instruments that conduct analysis of theplurality of information on selected processes utilise theinterrelations and their patterns among information during theseperiodic interruptions to selected obtaining information as well as saidclose association between each of the plurality of processes and thecorresponding information for formulating the interrelations and theirpatterns among the selected processes including those that occur intemporal extents lesser than the shortest variable of said operationalstep of the component (250) (e.g. transmission of external electricalenergy in a motor, transmission of an Infrared beam in a device) andtheir selected associating processes (e.g. angular speed in a motor,activating a device upon receiving an Infrared signal) in a subjectprocess environment.

As mentioned supra, these novel instruments effect interruptions to eachof a plurality of obtaining information on selected processes in orderto incorporate said processes into a common temporal basis, based uponthe variable operational step of the computing component and thestatistical and probabilistic analytical engines to facilitatecoordinating processes. Based on the analyses of the interrelations andtheir respective patterns, in accordance with the present innovation,the novel mechanisms therein facilitate formulating interrelations ofselected associating processes (e.g. magnetic flux in stator—rotor airgap, motor speed in a motor) in relation to each of the temporal extentsof such periodic interruptions to obtaining information on each of theselected processes that occur in durations lesser than said shortestvariable of the operational steps, in terms of a common temporal basisthat adopts the variable operational step of the computing component(250) and the statistical and probabilistic analytical engines (275).

As the interrelations between the temporal extents of each of theseinterruptions and the required operational standards (e.g. continuity inkinetic energy output for maintaining required angular velocity of rotorin an electric motor, the continuity in information handling maintainingrequired Infrared based data transfer) in the subject processenvironment are established, these novel instruments facilitatedetermining the respective periods for which the selected operations inthe process environment (e.g. angular speed of rotor in an electricmotor) remain within the required operational levels during each of theinterruptions to the respective processes (e.g. supply of externalelectricity) as well. In one key aspect of the present innovation, eachtemporal extent of the respective operations and the correspondinginterruptions derived from the interrelations and their patterns amongthe selected associated processes (e.g. each temporal extent ofsupplying and interruptions to electricity to different segments ofconducting coil in a motor derived from the respective interrelationswith the magnetic flux, electromagnetic force and angular speed ofrotor) are established as collectives of the temporal states establishedin terms of the variable operational step of the computing component(250) and the statistical and probabilistic analytical engines (275).

These novel instruments adopted in the present innovation formulatingthe collectives of temporal states of the interruptions to each of theseselected processes (e.g. supply of electrical energy to a motor,transmission of Infrared beam in an information management device) asderived through the interruptions to obtaining corresponding informationbased on the variable operational step of the computing component andthe statistical and probabilistic analytical engines facilitate theincorporation of said processes into the process environment withquantifiable temporal extents of its own operation as well asquantifiable interrelations with selected associating processes in thespecific process environment. As quantifiable entities incorporated inthe subject process environment (100), the collectives of the respectivetemporal states of these operations (e.g. supply of electrical energy toa motor, transmission of Infrared beam in an information managementdevice) disclose inter links with the corresponding extents (e.g. valuesof voltage in the rotor, values of magnetic flux in the gap betweenstator and rotor, angular speed of rotor) of the associating processes(e.g. magnetic flux, transmission of electricity due to induction,electromotive force, angular speed of rotor) in the context of thespecific process environment (e.g. an electric motor, Infrared basedcamera), since, in accordance with the present innovation, the analysesand establishing interrelations are conducted upon a common basis,namely, the variable operating step of the computing component (250) andthe statistical and probabilistic analytical engines (275).

In one key aspect of the present innovation, these novel instrumentsfacilitate adopting the temporal extents of the interruptions to theselected processes, derived from interruptions to transfers ofcorresponding information, that occur in durations lesser than thesmallest variable of the operational step of the computing component(250) (e.g. transmission of electricity, transmission of Infrared beam)as a basis for quantifying of the processes identified as associatingprocesses (e.g. inductance, electricity due to inductance,electromagnetic force, angular speed of rotor as associating processesof transmission of electricity in a motor) and their correspondingdurations of operation in the context of the specific processenvironment (e.g. operation of an electric motor, Infrared basedinformation processing in an Infrared camera). In accordance with thepresent innovation, establishing temporal extents in selected operations(e.g. transmission of electricity to a motor, transmission ofelectrochemical potential of a lead-acid cell as electromotive force toa circuit) in relation to these associated processes and theircorresponding collectives of temporal states, formulated in terms of acommon basis, namely, the variable operational step of the computingcomponent (250) and the statistical and probabilistic analytical engines(275) facilitates incorporating and expressing them based upon a commontemporal and resource framework.

In accordance with the present innovation, these novel instruments thatformulate a wide range of processes (e.g. transmission of electricity,creating induction and electromagnetic force, angular velocity in amotor) in a process environment based upon a common temporal andresource framework facilitate disclosing differentiations in temporalstates and a selection of resource utilisation and outcome in a robustmanner across different energy forms, time scales and behaviouralpatterns of different ‘actors and agents’, microscopic throughmacroscopic scales. By establishing them based upon a common temporaland resource framework, the novel approaches adopted in the presentinnovation disclose, among other aspects, the differentiations intemporal states among selected processes (e.g. differentiations amongtemporal states of external supply of electricity to a motor and thecreation of electromagnetic forces in the rotor and stator as well as ata different temporal scale, the angular movement of rotor due toelectromotive forces) during their operation.

By incorporating operation of microscopic through macro scale processesbased on a common temporal and resource framework, in one key aspect ofthe present innovation, these novel instruments facilitate conductingprocess coordination at the respective operational units acrossdifferent scales (e.g. segments of different scales in the conductionmedia—conducting coils—at which the facets of electromagnetism in anelectric motor are created, segments in the electrodes in anelectrochemical cell) associated with the interrelations and theirpatterns of said processes in the process environment. In accordancewith the present innovation, the novel instruments adopted therein whileidentifying these associations at the respective operational units ofdifferent scales facilitate approaching the smallest operational unitsin the respective process environments (e.g. a segment in a conductionmedia in an electric motor, a segment in an electrode in a lead acidcell, an elemental unit (510) in a semi conductor based component in anInfrared based camera) as independent and quantifiable operationalentities in conducting process coordination.

These novel instruments, by approaching the smallest operational unitsas independent entities in relation to the specific context of theprocess environment and by adopting the temporal states derived from thevariable operational step of the computing component and the statisticaland probabilistic analytical engines, in one key aspect of the presentinnovation, expand the basis for process coordinating. By approachingthese operational units as quantifiable entities and adopting thetemporal states based upon the variable operational step of thecomputing component (250), these novel instruments adopted in thepresent innovation facilitate formulating the interrelations and theirpatterns of the selected processes in relation to each of these units(300) and their compositions in a scalable manner expanding the basesfor process coordination. As these interrelations and their patterns areformulated in relation to different compositions (e.g. material andphysical compositions) of the operational units in different scales, thenovel instruments adopted in the present innovation enable establishinga basis for identifying each of said compositions that operates asrequired for different operational requirements in process environmentswherein the processes such as, but not limited to different facets ofelectromagnetism and electromagnetic radiation (e.g. different materialand physical compositions of conducting coils in electric motors thatretain facets of electromagnetism such as magnetic flux in differenttemporal extents upon interruption to supply of electricity withdifferent electrical properties, different material compositions ofelemental units (510) that transit from one level of predeterminedelectromagnetic properties to another in different temporal extents uponinterruption to supply of external electrical energy with differentelectrical characteristics).

As obtaining information on the processes in a process environment isclosely interlinked with other associated processes, including therespective constituent implements in the components and devicesassociated with said obtaining information establishing predeterminedlevels of electromagnetic properties (e.g. conductive and non-conductiveproperties) respectively for quantifiable temporal extents, and alsowith other selected processes (e.g. current gain-bandwidth correspondingto a fixed voltage and the respective charge carriers, for example,electrons receiving required energy quanta) in one key aspect of thepresent innovation, these novel instruments facilitate formulatinginterrelations and their patterns among these selected processes (e.g.conductive and non-conductive properties in a semi conducting unit) atdifferent scales. In one key aspect of the present innovation, thedifferent scales at which these novel instruments coordinating theprocesses include the elemental units (510), the conductive units(520A), the insulated conductive units (520B), the elemental devices(560) and the elemental components (575) as illustrated in FIGS. 3A, 3Band 3C as well as their pluralities and combinations that form devicesand components being utilised in different process environments,including, but not limited to switching and signal amplifying forfacilitating formulation of these robust bases and expanding the scopeof process coordination.

By facilitating establishment of the interrelations and their patternsat these scales, the novel instruments adopted in the present innovationenable formulating a basis for approaching the smallest units such asthe elemental unit (510), the conductive unit (520A) and the insulatedconductive unit (520B) as independent operational entities. Byapproaching these smallest operational units as independent entities, inaccordance with the present innovation, these novel instrumentsestablish a plurality of dynamically determined levels of respectiveelectromagnetic properties (e.g. conductivity and non-conductivitylevels) in each of the elemental units (510), conductive units (520A)and insulated conductive units (520B) and their compositions indifferent process environments, for example, those related totransmission of energy (e.g. electrical energy) as well as transmissionof information (e.g. electrical signals related to transmission ofInfrared signals as data) in order to expand the bases of processcoordination.

In one key aspect of the present innovation, each of the elemental units(510), each of the conductive units (520A) and each of the insulatedconductive units (520B) is connected to at least one of the plurality ofactivating components (280) that operate based upon the instructions ofthe computing component (250) and the statistical and probabilisticanalytical engines (275) for effecting variations in external supply ofelectrical energy to said units (510, 520A and 520B) in order to createdynamically determined levels of selected electromagnetic properties(e.g. electrical conductivity). The novel instruments, in accordancewith the present innovation, utilise these connections of each of theseunits (510, 520A and 520B) with each of the plurality of components(280) for supplying external electrical energy, in differentcombinations of electrical characteristics for dynamically determinedtemporal extents to enable each of these units and its compositionsattaining dynamically determined levels of pre-selected electromagneticproperties, in order to effect interruptions and resumption oftransmission of signals in different facets of electromagnetism asrequired for process coordination in respective process environments.

Whereas these units (510, 520A and 520B) can be processed making use ofa suite of widely adopted technologies that exploit the properties ofsemi conducting materials by enabling them attaining different levels ofelectromagnetic properties upon supply of different extents of externalelectrical energy for different temporal extents, in accordance with thepresent innovation, the novel instruments adopted therein dynamicallyestablish the interrelations and their patterns of each of thepluralities of combinations of properties in supply of externalelectrical energy (e.g. current, amplitude of voltage) and thecorresponding aspects related to levels of electromagnetic properties ateach of these units and their respective pluralities and compositions.These interrelations and their patterns include, but, not limited to thetemporal extents related to a plurality of transitions from each of thepredetermined levels of specified electromagnetic properties to anotherlevel in said units (510, 520A, 520B) which, in turn, determines thetransmission of the signals in respective facets of electromagnetismbased upon the variable operational step of the computing component(250) and the statistical and probabilistic analytical engines (275).

In accordance with the present innovation, the shortest variable of theoperational steps of the computing component (250) and the statisticaland probabilistic analytical engines (275) is lesser than the shortesttemporal extent of transition from each of the dynamically determinedlevels of electromagnetic properties to any other dynamically determinedlevel of such properties in each of these units (510, 520A and 520B) asinstructed by the component (250) in the process environment.

Since each of these units attain different levels of specifiedelectromagnetic properties upon supply of external electrical energy,the novel instruments adopted in the present innovation dynamicallyconfigure a plurality of such units by electrically interconnecting themby supplying external power and varying the combinations in theseinterconnections as well as the electrical characteristics in powersupply at dynamically determined temporal contexts, utilising theactivating components (280) that operate based on the instructions ofthe computing component (250) and the statistical and probabilisticanalytical engines (275).

In one key aspect of the present innovation, in relation to each of thedifferent combinations of characteristics in electrical energy supplyfor each of the durations, these novel instruments facilitateestablishing bases for identifying the respective material compositionsin these units (510, 520A and 520B) that demonstrate a plurality ofpredetermined behavioural patterns (e.g. transition among differentlevels of electrical conductivity upon different combinations ofelectrical properties in external supply of power) in differentcontexts. Utilising the bases, for example, these novel instrumentsfacilitate identifying the different compositions of the materials thatprovide a range of required levels of specific electromagneticcharacteristics in these units, including, but not limited to transitionfrom a predetermined high conductivity level to a predetermined lowconductivity level, along with the related processes (e.g. attainingcurrent gain-bandwidth corresponding to a voltage) within differenttemporal extents. In accordance with the present innovation, these novelinstruments, thus, provide the framework that enable producing each ofthese different types of units and their combinations with necessarymaterial and physical compositions to achieve the transitions amongpredetermined electromagnetic property levels in different durations inrelation to each of the plurality of combinations of electricalproperties in external electrical supply, as required in the respectiveoperational contexts.

These bases facilitated by the novel instruments adopted by the presentinnovation also enable formulating the interrelations of the temporalextents in establishing the predetermined levels of electromagneticproperties (e.g. electrical conductivity) for each of the differentcombinations of electrical properties for different temporal extents insupply of external energy in relation to the respective materialcompositions of these elemental units, which, in turn, constituteelemental devices (560) and elemental components (575) in addition toutilising them in forming different components as well as for making useof them in different applications and operational contexts. Thus, thenovel techniques adopted in the present innovation as well provide abasis for identifying different combinations of material compositionsthat bring about the properties related to temporal extents ofestablishing different levels of specified electromagnetic properties(e.g. temporal extents of maintaining predetermined conductivity levelsupon variations in supply of electrical energy in its differentcombinations of characteristics for different durations for each type ofmaterial composition) as well as the temporal extents of transitionsfrom one such level to another while providing a framework in selectingdifferent materials and their respective combinations, such as, but notlimited to chemical and physical combinations and proportions incomposing these elemental units (510) and conductive units (520A) andinsulated conductive units (520B) as well as their pluralities to suitrespective operational contexts.

Since these novel instruments facilitate providing each of the elementalunits, conductive units and insulated conductive units and theircombinations with external electrical energy in different combinationsof electrical characteristics and in different temporal extents forattaining different predetermined levels of electromagnetic propertiesin the configurations of these units that enable transmission of signalsof electromagnetism and interruptions to their transmission, inaccordance with the present innovation, they also enable utilizing saidunits and their combinations in a wide range of applications related toprocesses including obtaining information on operation of the selectedprocesses in a process environment.

As per the applications related to process coordination, in accordancewith the present innovation, the elemental units (510) are configured toform elemental devices (560) and elemental components (575) which, inturn, constitute the components and other devices for specific temporalextents dynamically determined by the computing component (250) based onthe inferences of the statistical and probabilistic analytical engines(275) in relation to the tasks and the roles of these configurationsacross different scales (e.g. elemental devices and elementalcomponents, components). In one key aspect of the present innovation,these novel instruments analyse the overall tasks (e.g. facilitating thesupply of a high quantum electrical energy for an operational unit,transfer of a group of data) and formulate the structure andorganisation of the dynamically formulated electrical and temporalcharacteristics of each of the plurality of electromagnetic signals thatrequire passing through each of these units in such configurations andeach of the durations between such signals in carrying out these overalltasks in determining each of these configurations of the smallest units,namely, the elemental unit (510), the conductive unit (520A) and theinsulated conductive unit (520B) as well as the required externalelectrical energy and the temporal extents for energizing.

In accordance with the present innovation, these novel instruments,based on the interrelations and their patterns of the temporal extentsof each of the transitions from one predetermined level of specifiedelectromagnetic properties to another (e.g. high conductivity level tojust below threshold of cut off level for conductivity) within and amongthese units, dynamically formulate the optimum configuration requiredfor each of the transmissions of electromagnetic signals, in relation tothe plurality of said transmissions to conduct the overall task,mentioned supra. By formulating each of the configurations of theseunits for the specific characteristics of each of said signals within agroup and the durations between two of such signals that would betransferred to carry out the overall task, based upon the instructionsof the computing component (250) that derive from the inferences of thestatistical and probabilistic analytical engines (275), in one keyaspect of the present innovation, these novel instruments expand thebases for coordinating processes adopting the optimum resources (e.g.number and structure of the units in these configurations, compositionof electrical characteristics) as well as effectiveness in conductingeach of its tasks (e.g. data formulation, transmission of high currentelectrical signal). In dynamically establishing the optimumconfigurations of these units and the optimum electrical and temporalcharacteristics, these novel instruments utilise the respectiveproperties in relation to the transition from one level of predeterminedelectromagnetic properties to another level upon the differentelectrical and temporal characteristics in supply of external electricalenergy in each of these units (e.g. the elemental units, the conductiveunits and the insulated conductive units). For example, a small temporalextent for transition from the no conductivity level to conductivitywith a small external electrical energy input for a short duration aswell as upon its interruption reverting in a short transition periodback to the no conductivity state in these compositions of elementalunits in combinations with pluralities of conductive units (520A) andinsulated conductive units (520B) would be the properties of amplifyingelectrical signals adopted for providing high quantum electrical energyin short temporal extents interspersed with interruptions to selectedoperational units (300) (e.g. segments of conducting coil) in anelectric motor, in accordance with the present innovation.

An elemental unit, either individually or in combination with otherelemental units in a grouping, may derive an electrical functionality(e.g. negative, positive, source) for a specific temporal extent, andreceive external electrical energy through conductive units (520A) thatconduct electrical charges and insulated conductive units (520B) thatcreate electrical fields respectively, comprising dynamically determinedelectromagnetic properties for specific durations, in terms of theinstructions by the computing component based on the inferences of thestatistical and probabilistic analytical engines. The configurations ofelemental devices (560), each comprising two or more groupings of suchelemental units, and the elemental components (575) comprising three ormore such groupings of elemental units, based on the instructions of thecomputing component wherein each of said groupings assumes an electricalfunctionality different to that of such groupings electricallyinterconnected with it while the required external electrical energyinputs are provided through selected pluralities of conductive units(520A) and insulated conductive units (520B) to establish thedynamically determined levels of properties that facilitate establishingrequired levels of electromagnetic properties, in order for suchelemental devices (560) and elemental components (575) to makeinterruptions to and resumption of transmission of electromagneticsignals.

In one key aspect of the present innovation, these novel instruments,upon supply of dynamically determined electrical energy inputs at eachof these groupings of elemental units in the elemental devices and inthe elemental components respectively enabling them attain thedynamically determined electromagnetic property levels, based on thecomparisons with previous analyses of the respective properties, utilisethese devices (560) and components (575) and their pluralities totransmit electromagnetic signals with dynamically determinedcharacteristics for a wide range of applications.

Since the novel instruments adopted in the present innovation facilitateeach of the groupings of elemental units assuming dynamically determinedelectrical functionalities (e.g. negative, positive, source) withdynamically determined levels of respective electromagnetic propertiesfor variable temporal extents, the configurations of the elementaldevices and the elemental components as well as their functions andcapacities for transmitting electromagnetic signals can be optimisedimproving the utilisation of resources and outcome as well. Inoptimising the resources and outcome, in accordance with the presentinnovation, utilising the activating components (280) the novelinstruments adopted herein dynamically activate and deactivate theelectrical interconnectivities of each of the elemental units associatedwith the respective dynamically formulated configurations of elementaldevices and elemental components in order to maintain the optimum levelof electromagnetic properties (e.g. just below threshold ofconductivity, high conductivity) at each of said units, as determined bythe computing component (250) based on the inferences of the statisticaland probabilistic analytical engines (275).

The novel techniques adopted in the present innovation in dynamicallyconfiguring the elemental devices (560) and elemental components (575)facilitate their constituent groupings of elemental units (510) assumerespective electromagnetic properties, including respective electricalfunctionalities upon supply of external electrical energy throughcombinations of respective pluralities of conductive units (520A) andinsulated conductive units (520B). In configuring these elementaldevices (560), elemental components (575) and their combinations, basedupon the analyses, these novel instruments supply external electricalenergy with the required combinations of electrical and temporalcharacteristics through the respective activating components (280) toeach of the conductive units (520A) and the insulated conductive units(520B) in the dynamically formulated configurations, in order toestablish respective electromagnetic property levels (e.g. just belowthreshold of conductivity) with dynamically determined properties fordynamically determined temporal extents. In one key aspect of thepresent innovation, as each of the conductive units (520A) and theinsulated conductive units (520B) are connected to one or more elementalunits (510) that are configured in their groupings with dynamicallydetermined electrical functionalities for forming the elemental devices(560) and elemental components (575), the novel techniques adopted inthe present innovation dynamically determine the specific numbers,compositions and temporal extents of said conductive units and insulatedconductive units to be utilized, in order for establishing thedynamically determined levels of electrical properties that facilitatetransmission of electromagnetic signals and the interruptions to suchtransmissions.

In one key aspect of the present innovation, in different operationalcontexts (e.g. information handling, energy management) deriving fromthe increased possibilities of combinations of supply of externalelectrical energy for dynamically determined temporal extents withvariable electrical characteristics, these novel techniques formulategreater operational opportunities for each of the elemental units andtheir different formations that combine to formulate each of theelectrical functionalities (e.g. source, negative, drain, positive,gate, base) assisted by the combinations of respective conductive unitsto assume a plurality of functions according to different requirementsand applications, based on the instructions by the computing componentand the statistical and probabilistic analytical engines. Based uponthat, in accordance with the present innovation, each of the elementaldevices, elemental components and their scalable combinations are ableto assume multi functional roles as well, since the novel instrumentstherein utilise the varying temporal and other related characteristicsin establishing the predetermined levels of respective electromagneticproperties in the constituent elemental units in pluralities ofcombinations, upon being supplied with electricity in a variety ofcombinations of electrical characteristics (e.g. voltage, current) fordifferent temporal extents, thus enabling optimising the types, numbersand permutations in corresponding temporal extents in the operation ofrespective components and their parts. Dynamically formulating each ofthe plurality of electromagnetic signals in relation to the specificapplications, in one key aspect of the present innovation, in terms ofthe minimum required energy levels, with optimum time intervals betweensuch signals facilitate creating these greater operationalopportunities, as the novel instruments adopted in the presentinnovation formulate the configurations of these units and transmissionof said signals maintaining the optimum electrical energy levels in suchunits (e.g. threshold conductivity level in elemental units, thresholdelectrical field emitting level in insulated conductive units) engagedin each of said signal transfers as well as those units not engaged insaid transfers at the required levels for the required temporal extents,thus avoiding electrical energy leakages, that cause errors and energylosses at these smallest scales as well.

The novel instruments in the present innovation, adopting the temporalextents of these interruptions to supply of external electrical energyutilise return electrical charge produced upon each of theseinterruptions at the elemental units, the respective conductive units,the corresponding elemental devices and the elemental components as wellas at various components comprising them to provide at least part of theexternal electrical energy required for operation of other such units,devices and elemental components. These novel techniques adopting theactivating components (280) that operate in variable operational stepsthat have shorter variables than the temporal extents of transitionamong dynamically determined levels of electromagnetic properties in theelemental units and their combinations, based upon the instructions andinferences of the computing component (250) and statistical andprobabilistic analytical engines (275), direct these ‘return electricalcharges’ due to the interruptions to the electricity supply, to otherselected elemental units, conductive units, elemental devices, elementalcomponents and parts of components, upon assessing their respectiveenergy requirements and the corresponding properties of these returnelectrical charges.

Similarly, in other applications of the present innovation associatedwith ‘return electrical charges’ in different scales, including electricmotors, the novel instruments direct them for other sections, (e.g.operational units, process coordinating system components) of theprocess environment as supply of electricity.

By facilitating employing a scalable unit of analysis for formulatinginterrelations and their patterns of the selected processes these novelinstruments adopted in the present innovation enable establishing abasis for identifying the respective collectives of operational units ofeach type (e.g. extent and locations of segments of the conduction mediain an electric motor to be energized for obtaining the required kineticenergy level in the rotor for the specified temporal extent) requiredfor maintaining the operational standards in the process environment. Byemploying a scalable unit of analysis for process coordinating, thesenovel instruments adopted in the present innovation facilitate an entirerange of novel operational features and outcome at microscopic scale ofcomposing (e.g. chemical compositions in smallest operationalunits—smallest segments of conducting material in an electric motor thatfacilitate greater temporal extents of maintaining respective levels ineach facet of electromagnetism upon the interruptions subsequent todifferent combinations of electrical and temporal properties in supplyof power) and formulating interrelations at these operational units andtheir scalable compositions as well as their applications in differentcontexts including in handling the information in coordinating ofprocesses.

In accordance with the present innovation, these novel techniques thatadopt these interruptions to the obtaining information as well asprocesses in the subject process environment as mentioned supra, thatare effected at microscopic scale (e.g. elemental unit, conductiveunits) facilitate establishing interrelations and their patterns withselected processes that occur in microscopic scales (e.g. quantifiedextents of molecules reformulating their respective electromagneticbonds in selected chemical reactions such as forming H₂O and SO₄ ²⁻ inan ionized media) upon a common temporal basis that adopts the variableoperational step of the computing component (250) and the statisticaland probabilistic analytical engines (275). These dynamicallyestablished interrelations and their patterns among the respectivetemporal states of different processes, including those in microscopicscales in a process environment enables utilising the differentiationsof said temporal states and their patterns for a wide range ofapplications and purposes.

Applications of some of the abovementioned key aspects of the presentinnovation can be further illustrated while emphasizing that by no meansthey are exhaustive or defining or confining the scope of itsapplicability.

As mentioned above, in one key aspect of the present innovation, inobtaining information on a plurality of processes for coordinatingprocesses in the process environment (001) (e.g. an electric motor, anelectrochemical cell) commencing said obtaining of the respectiveinformation occur upon receiving signals from the relevant signalingcomponents (225) in the sources (150) by the process coordinatingcomponent (101). While initiating obtaining information on selectedprocesses the computing component (250) and the statistical andprobabilistic analytical engines (275) analyse the selected pluralitiesof reference characteristics of each of the plurality of informationupon their receiving at the respective characteristic identifyingcomponents (224) in the processing components (221) of the sources (150)in order to establish the interrelations and the patterns of theseinterrelations of said characteristics of the information in terms ofthe variable operational step of said computing component (250).

In obtaining information for coordinating processes in a processenvironment such as an electric motor, in one key aspect of the presentinnovation, a plurality of characteristic identifying components (224)in the sources (150) identify the respective characteristics of aplurality of information on selected processes including voltage,frequency and current in the external supply of electricity, magneticflux, inductance, transmission of electricity in selected operationalunits (300) due to inductance and electromagnetic forces and facets ofkinetic energy (e.g. angular velocity) at kinetic energy basedoperational units (e.g. flywheel of the motor, pulley of motor).

The novel techniques, in accordance with the present innovation, thusobtain information at the respective sources (150), identified by thecorresponding reference characteristic identifying components (224) andreceived by the respective reference characteristic receiving components(226), based on the instructions of the computing component (250) andthe statistical and probabilistic analytical engines (275). Inaccordance with the present innovation in a process environment such asan electric motor, information on magnetic flux due to flow ofelectricity externally supplied to dynamically determined operationalunits (300) (e.g. segments of conducting coils or similar segments), oninductance as well as on properties of electricity in the selectedoperational units (e.g. electromagnetism based operational units in thestator and in central core-rotor-of an electric motor) of the sectionsdue to thus established inductance, as well as the resulting magneticflux at the respective locations, among other selected associatingprocesses are obtained, mentioned supra. The resulting electromagneticforces at selected operational units (300)—segments of rotor & stator—inthe process environment and the facets of kinetic energy (e.g. angularvelocity), as well as the resistance in the selected operational units(300)—segments of coils—are also gathered in terms of the variableoperational step of the computing component and the statistical andprobabilistic analytical engines, in order to facilitate analysis andidentifying interrelations and their patterns among selected processes.Methods and instruments for obtaining the respective values of magneticflux, inductance, electromagnetic force as well as voltage, current,frequency and resistance in order to identify and receive theirrespective characteristics as required for the applicability in thepresent innovation by a plurality of components (224) and components(226) in terms of the variable operational step of the computingcomponent (250) are commonly available in the market and can also befound in published literature.

In obtaining information for conducting process coordinating in aprocess environment such as an electric motor, in one key aspect of thepresent innovation, a plurality of characteristic identifying components(224) in the sources (150) identify the respective characteristics of aplurality of information on selected processes including voltage,frequency and current in the external supply of electricity to selectedoperational units (300), magnetic flux, inductance, transmission ofelectricity in said operational units (300) due to inductance andelectromagnetic forces and facets of kinetic energy (e.g. angularvelocity) at kinetic energy based operational units (e.g. flywheel ofthe motor, pulley of motor).

In accordance with the present innovation, utilising its novel featuresinformation related to a wide range of applications associated withfacets of electromagnetism such as, but not limited to motors, lightingas well as controlling and switching numerous other processes, forexample, supply of fuel (e.g. compressed gas, liquefied fuel pumpedthrough electrically controlled nozzles etc;) through electricalcontrols in various applications that adopt similar methodologies towhat is illustrated above can be obtained in order to conduct processcoordination in such contexts.

In accordance with the present innovation, in obtaining information forconducting process coordination in a process environment involving aplurality of chemical processes (e.g. electrochemical cell) a pluralityof characteristic identifying components (224) in the sources (150)identify the respective characteristics of a plurality of information onselected processes (e.g. the electromotive force in the cell, variationsin the chemical composition in the ionized media and the variations inelectrochemical potential of the ionized media) in selected operationalunits (300) (e.g. segments of the electrodes, segments of the ionizedmedia).

These novel techniques, since the chemical processes are closelyinterlinked with other similar processes in the subject processenvironment (e.g. the variations in the ionized media—proportions of H₂Oand SO₄ ²⁻ in an electrochemical cell are closely interlinked with otherassociated processes including, but not limited to, the well known‘redox’ reactions, that also result in corrosion and deposition at therespective electrodes and the related quantum-mechanical tunneling whichenables electron release resulting in the respective concentrations ofcharges at the electrodes which, in turn, upon closure of the circuitfacilitates supply of electromotive force to an equipment—motor,lighting equipment), in one key aspect of the present innovation, thenovel instruments therein by analysing information from the respectivesources (150) (e.g. information on formation of H₂O and SO₄ ²⁻ andtemperature of the ionized media) facilitate formulating interrelationsand their patterns of the selected processes, (e.g. correspondingelectromotive force and electrochemical potential) adopting the variableoperational step of the computing component (250) and the statisticaland probabilistic analytical engines (275).

In accordance with the present innovation, information related to a widearray of applications associated with chemical processes, ranging frombiological functions in human and animal bodies as well as in otherliving organisms including plants and micro organisms to industrialchemical processing and production can be obtained adopting similarmethodologies to what is illustrated above in order to conduct processcoordination in such contexts.

In obtaining information for conducting process coordination in aprocess environment such as an electromagnetic radiation basedinformation handling environment (e.g Infrared based video camera), inone key aspect of the present innovation, a plurality of characteristicidentifying components (224) in the sources (150) identify therespective characteristics of a plurality of information on selectedprocesses (e.g. Infrared radiation and sound waves of differentfrequencies and amplitudes). The novel techniques, in accordance withthe present innovation, thus obtain information at the respectivesources (150), identified by the corresponding reference characteristicidentifying components (224) and received by the respective referencecharacteristic receiving components (226), based on the instructions ofthe computing component (250) and the statistical and probabilisticanalytical engines (275). In accordance with the present innovation in aprocess environment such as an electromagnetic radiation basedinformation handling environment, information on relevantelectromagnetic radiation beams (e.g. Infrared based beams) and soundwaves among other processes are obtained.

In one key aspect of the present innovation, information related to awide array of applications associated with electromagnetic radiation andionizing radiation can be obtained adopting similar methodologies towhat is illustrated above in order to conduct process coordination insuch contexts. As the different facets of ionizing radiation includesmeasurable energy transfers, which can be quantified by implementingcommonly found methods in scientific literature, and also due the factthat their respective velocities of within different media can beidentified, in accordance with the present innovation, the novelinstruments while effecting periodic interruptions to obtaininginformation on ionizing radiation and the parallel energy transfers(e.g. periodic interruptions to exposure of a specific mass of water toionizing radiation and thus energy transfer) that disclose theattributes of the respective ionizing radiating beams as well as at thelocations where such energy transfers occur (e.g. mass of water thatreceives thermal energy due to ionizing radiation) conduct the necessaryanalyses of the information in order to facilitate conducting processcoordination in these contexts.

In accordance with the present innovation, as mentioned above, thesenovel instruments utilising the novel features in obtaining informationon processes that occur in temporal extents lesser than the shortestvariable of the variable operational step of the computing component(250) and the statistical and probabilistic analytical engines (275)outline a basis for establishing said processes as quantifiable entitiesin terms of a common temporal and resource framework adopting saidvariable operational step of the component (250). These novel techniquesadopting said framework as well establish the interrelations and theirpatterns of identified associated processes at operational units ofdifferent scales, which in turn, facilitate disclosing differentiationsin temporal states and a selection of resource utilisation and outcomeduring their operations in different practical applications enablingimproved process coordination. The robust basis provided by the novelinstruments adopted in the subject innovation enables establishing thesedifferentiations theoretically at n extent of operational units frommicroscopic to macro scales as suited for process coordination in therespective applications.

By establishing collectives of temporal states of external supply ofelectricity at different operational units in a motor such as segmentsof conducting coils, segments in laminations utilising these novelinstruments that adopt the variable operational step of the computingcomponent (250) of the system (100), for example, the differentiationsamong said collectives of temporal states, resource utilisation andoutcome with those of the associated processes such as magnetic flux,inductance and the electromagnetic forces as well as at a differenttemporal scale, the angular movement of rotor due to kinetic energy canbe formulated.

Similarly, these novel instruments that formulate collectives oftemporal states of electromotive force in an electrochemical celladopting the variable operational step of the computing component (250)of the system (100), establish the differentiations in collectives oftemporal states, resource usage and outcome across different energyforms and chemical processes such as redox reactions, variations incompositions in the ionized media and the electrochemical potential atthe respective operational units such as segments of electrodes,segments of the ionized media.

The temporal and resource differentiations among the processes that canbe established in terms of the above bases, in accordance with thepresent innovation, include a plurality of chemical operations, thatinvolve formation and modification of a wide range of intra and interatomic bonds involving a variety of energy forms, such as, thermalenergy, electro chemical potential as well as chemical energy, asevidenced through the outline of application in an electrochemical basedprocess environment, mentioned supra.

Establishing the collectives of temporal states of the selectedoperations in process environments that involve intra and inter atomicbonds, in relation to those of the associated processes as well as thevalues of a selection of such properties and the durations ofmaintaining these values, in accordance with the present innovation,facilitate deriving an array of benefits, in a wide range of contexts,including chemical processing, chemical energy, medical andpharmacological applications as well as in biological, botanical and innano technological based applications, among others.

The novel techniques that establish these differentiations providesignificant practical advantages in a wide range of fields andindustries that utilise electrical energy, chemical reactions as well asdifferent facets of electromagnetic radiation and ionizing radiation.Carrying out the application of the key aspects of the subjectinnovation in some of these areas is further explained below.

In accordance with the present innovation, the novel instruments thatformulate these differentiations facilitate establishing vital basis forpractical application by system (100) in a context specific manner. Asthe above mentioned differentiations touch upon temporal dimension,resource utilization across different forms and types as well asoutcome, in one key aspect of the present innovation, such applicationscan be not only be dynamically tailored to suit field (e.g. usage ofelectrical energy, chemical processing) but specific context (e.g. highoutput rate electric motor or energy saving operation in chemicalprocessing) of its application.

Effecting periodic interruptions to selected processes in a processenvironment for temporal extents dynamically formulated by the system(100) is one such vital application of the novel instruments. Inapplications such as those using electrical energy— electric motors,lighting, heating—as well as those based on facets of electromagneticradiation—Infrared, Laser—these novel instruments facilitate effectingthese periodic interruptions based on the abovementioneddifferentiations in temporal and resource usage scales while maintainingtheir respective operational standards bringing numerous advantages inenergy saving and optimising outcome through process coordination.

In accordance with the present innovation, utilising the temporal andresource differentiations formulated by these novel instrumentseffecting periodic interruptions to transmission of external electricityto selected operational units (300)—segments of conducting coils in amotor, segments of semi conducting components in a LED lightingequipment, segments of heating elements—in different applications thatoperate on electricity bringing practical advantages of its noveltechniques.

In accordance with the present innovation, the novel instruments thatestablish these differentiations at selected operational units (300) ina process environment (001) that utilise electrical energy offeradvantages in situations of earth leakages as well. As the informationon electricity (e.g. voltage, current, resistance) is obtained fromdifferent sources (150) in a process environment at the variableoperational step of the computing component (250) and the statisticaland probabilistic analytical engines (275), and also the interruptionsto supply of electricity are effected facilitating obtaining informationon resistance in the circuit, an earth leakage can be not only detected,but an instruction to interrupt the transmission of electricity only tothe affected operational unit or location avoiding disruption of otheroperations can be generated, if and when the relevant properties ofelectricity in the circuit (e.g. resistance) deviate from predeterminedparameters. With the application of these novel instruments inelectrical energy based contexts, the risk of electrocution due to earthleakage is practically eliminated, as the duration required fordetection and effecting interruptions to supply of power, in one keyaspect of the present innovation, are much shorter than the temporalextents of electrocution to become a safety and/or health hazard, whilethe context specific interventions (e.g. shutting down power supply)avoid disruption to operation of other operational units that are notaffected by the earth leakage.

In conducting process coordination, the instructions of the computingcomponent (250) derived upon the inferences of the statistical andprobabilistic analytical engines (275) are transferred to the activatingcontrolling components (280) in the system (100). The activatingcomponents transfer these signals such as effecting and initiatingsupply of external electricity to the respective controlling components(290) at the respective operational units (300). The plurality ofcharacteristics of the information on these processes and theirrespective associated processes is transferred to the respectivereference characteristic identifying (224) and receiving (226) andmodificating (227) components in the sources (150) while the component(280) conducts error handling of these transfers as well. Since thesenovel instruments facilitate employing scalable operational units (300)in electrical energy based applications such as electric motors andlighting, for instance, while the temporal extents of supplyingelectricity and its selected associated processes as well as theactivation and interruptions are controlled by the system (100) thecorresponding compositions and the dynamically formulated combinationsof said operational units are also governed by the system (100). Forexample, the compositions and their dynamically formulated combinationsof a type of operational units (300)—segments of conducting coils,segments in laminated core—can assume different physical characteristicsand scales that have the capacity to create associated processes such asmagnetic flux, inductance and electricity in rotor and other similarsection in order to create the necessary electromagnetic force in anoptimum manner, such as but not limited to said segments of conductingcoils being parallel to the direction of angular movement of rotor withtheir respective ends at very close intervals, facilitating more preciseinitiation and interruption to supply of electricity and more precisecreation of electromagnetic forces and resulting smoother kinetic energy(e.g. torque), thus optimising resources and outcome.

Since the novel mechanisms in the present innovation facilitatedisclosing differentiations in temporal states and a selection ofresource utilisation and outcome during the operations in a processenvironment in a robust manner across different energy forms, temporalextents and behavioural patterns of actors and agents at microscopicthrough macroscopic scales, as well as across different interconnectedprocess environments mentioned supra, they enable forming a versatilebasis for exchange of resources (e.g. electricity) at intra as well asinter process environment scales. The basis for exchange (e.g. exchangeof electricity), in accordance with the present innovation, in turn,facilitates formulating temporal extents of selected processes (e.g.T2-temporal extent of interruption to electricity supply to an electricequipment commencing at the time punctuationhh;mm:ss:mss, upon Y-Coulombelectricity input comprising P-volts and Q-Amperes at R-kHz in PulseWidth Mode provided for a duration of T1,ss:mss) as a vital resource,that would form the basis for providing a commercially available rangeof products and services in a time and location specific manner, forexample, embedded in electricity supply networks, across differentscales (e.g. among a few equipment in a home, in a large region withlarge machinery and industrial facilities where power generation plantsthat can dynamically respond to demand for ‘temporal extents in powersupply’ are part of network).

In one key aspect of the present innovation, the novel instrumentsformulating differentiations in temporal states, resource usage andoutcome that establishes framework for effecting periodic interruptions,thus optimising the processes can also be applied in processenvironments such as Infrared based devices.

In accordance with the present innovation, information is obtainedthrough a plurality of sources (150), each comprising a plurality ofprocessing components (221) and a buffering component (230). Eachprocessing component comprises a reference information identifyingcomponent (224), coupled to a reference characteristic receivingcomponent (226), a reference characteristic modificating component (227)and a communicating component (216) and punctuation incorporatingcomponent (217) to facilitate transfer of data of the informationobtained to the process coordinating component (101), which includes thecomputing component (250) and the statistical and probabilisticanalytical engines (275).

Upon information (e.g. a sound wave, a light beam) reaching therespective reference information identifying components (224), a signalfrom the signaling component (225) is received at the processcoordinating component (101) for energising the components to formulateInfrared based data. While energising is carried out the computingcomponent (250) and the statistical and probabilistic analytical engines(275), based on the variable operational step analyse the associatedprocesses including the activation of the reference informationreceiving components (226) and the corresponding operational unit(300)—Infrared based data formulating component—upon supply of energy(e.g. voltage, current and frequency of energy supply in an electricitybased Infrared signal creator, the corresponding wavelengths andamplitude of Infrared signal) in order to establish the interrelationsand their patterns. These analyses and the interrelations and theirpatterns include those of the return signals from the Infrared basederror handling component from the receiving section in the Infraredbased device for error handling and establishing the completion of thetransfer of data.

Based on these interrelations and their patterns among the interrelatedprocesses including energising and creation of Infrared based data, interms of the variable operational step of the component (250), thesenovel instruments adopting the computing component and the statisticaland probabilistic analytical engines effect interruptions to thecreation of the Infrared based signal incorporating the electromagneticradiation based data transmission as a quantifiable process withquantified temporal extents, resources and outcome.

In incorporating this data transmission, the process coordinatingcomponent (250) based on said variable operational step effect aplurality of interruptions to the Infrared based transmission fordynamically determined temporal extents and monitor ‘No-Infrared’signals accompanied by Infrared punctuations for analysis, formulatingthe interrelations and the patterns of interrelations with associatedoperations, mentioned supra. In situations where the processcoordinating components at emitting and receiving locations are notdirectly interconnected, the interrelations and their patterns of thereturn signals mentioned supra, in conjunction with those related to theoperation including energising and, transmission of signals are utilisedto formulate these interrelations and their patterns in relation to thetemporal extents of the interruptions to the transmission of theInfrared based signal between the emitting and receiving devices. As aperson skilled in the art will note, these interruptions to thetransmission may be conducted adopting methods such as by effectingperiodic interruptions to the supply of energy to the source of Infraredsignal, by effecting variations in the ‘eye’, i.e. source of emittingand by conducting variations among the Infrared emitting components, inorder to diversify the bases of operation, while formulating Infraredbased data primarily on the temporal extents of the interruptions.

In one key aspect of the present innovation, making use of theincorporation of transmission of electromagnetic radiation as aquantifiable process these novel techniques adopting the interruptionsformulated in terms of the variable operational step of the computingcomponent (250) and the statistical and probabilistic analytical engines(275) establish a framework for information handling. Adopting thecommon temporal basis established in terms of the variable operationalstep of the computing component and the statistical and probabilisticanalytical engines, the collectives of temporal states of interruptionseffected to the transmission of Infrared based signals, in one keyaspect of the present innovation, enabling formulating data states forinformation handling.

Based on the instructions of the computing component (250), as therespective reference characteristic receiving components (226), thecommunicating components (216) and the punctuation incorporatingcomponent (217) create signals to be shared to cater to multiplerequests (e.g. an audio signal to be mixed with another audio signalwhile being combined with a video signal simultaneously). These signalsare transferred to the respective operational units (300)—Infrared baseddata formulating components—for transferring the data incorporating theattributes including ‘no Infrared radiation’ attributes, as well as thetemporal attributes, based on temporal states adopting the variableoperational step of the computing component (250).

An Infrared emitting component at the Infrared based data formulatingcomponent inter links starting and ending Infrared based punctuations toeach of the data states, based on the instructions of the computingcomponent (250), adopting the inferences by the statistical andprobabilistic analytical engines (275), completing the Infrared datastate formulation. The novel techniques adopted to create data stateswith dynamically variable Infrared radiation attributes, including ‘noradiation’ and temporal attributes, in accordance with the presentinnovation, facilitate optimum resource usage and effective informationhandling in an Infrared based process environment.

In one key aspect of the present innovation, utilising the computingcomponent (250) and the statistical and probabilistic analytical engines(275), a plurality of information processing components (221) at each ofa plurality of sources (150) and a plurality of operational units(300)—Infrared based data formulating components—are configured for datatransfer simultaneously, adopting the ‘no radiation’ temporal states.Adopting the ‘no radiation’ states, the novel instruments in the presentinnovation facilitate flexible utilisation of Infrared based datatransferring components, enabling simultaneous transfer of data. Inaccordance with the present innovation, the computing component and thestatistical and probabilistic analytical engines provide dynamicidentities to the each of these components as well as the configuredgroups of components and assign different tasks of formulating data forinformation received from multiple sources.

Based on the disclosure of the application of the novel features of thepresent innovation in an Infrared based process environment, theapplicability and adoption of these instruments in a multitude ofprocess environments that utilise different types of media, includingfacets of electromagnetic radiation that transmit energy as well asinformation in microscopic through macroscopic scales becomes evident.

Similar to the Infrared based process environment explained herein, inan audio visual process environment, for example, where electromagneticradiation, i.e. light, as well as sound wave based information ispresent, in accordance with the present innovation, a processcoordinating system can be utilised. As was adopted in the Infraredbased information system, mentioned supra, the respective emittingcomponents for electromagnetic radiation and sound waves (e.g. for lightand sound), based on the instructions of the computing component and thestatistical and probabilistic analytical engines, that conduct analysesof the selected processes for formulation of the respective collectivesof temporal states can be utilised to create signals adopting the ‘notransmission’ (e.g. light and sound) data states, which can beidentified at one or more respective reference characteristicidentifying components and reference characteristic receiving componentsthat operate based on the instructions of a process coordinatingcomponent, a person skilled in the art would be able to apply in avariety of contexts, adopting these aspects of the present innovation.

In situations where the information handling protocols with the creating‘actor’ of information (e.g. a moving animal creating audio visual andInfrared signals) are not established, in accordance with the presentinnovation, similar to the application in an Infrared based environment,described supra, adopting the respective pluralities of referencecharacteristic identifying components, reference characteristicreceiving components and reference characteristic modificatingcomponents for different facets of information (e.g. different bands offrequencies and amplitudes of the electromagnetic spectrum and of soundwaves), the information can be obtained for information handling. Basedon the analyses and establishing of interrelations among thesecharacteristics of different types of information (e.g. electromagneticspectrum, sound waves) in terms of the variable operational step, thecomputing component and the statistical and probabilistic analyticalengines, in accordance with the present innovation, instructs therespective reference characteristic identifying components, referencecharacteristic receiving components and reference characteristicmodificating components to interrupt formulating and transferring suchinformation as data states, for the temporal extents their attributesremain within the parameters as revealed through the previous analysis,thus optimising the operations, while ensuring that they are analysedand their patterns established for highly accurate and high performancedata handling.

In accordance with the present innovation, utilizing the novel featuresin obtaining information and formulating differentiations of operationof processes in a process environment including those occurring intemporal extents lesser than the shortest variable of the variableoperational step of the computing component (250) that facilitateeffecting periodic interruptions to processes such as facetselectromagnetism and electromagnetic radiation enables a vitalapplication in incorporating gravitational forces into relevant processenvironments as a quantifiable and interrelated entity. Utilising thesenovel instruments, firstly the temporal extent of the transmission of abeam of electromagnetic radiation (T₁) such as visible light for thepredetermined distance between the component (224) and the component(226) under predetermined atmospheric conditions (e.g. in a vacuum at 0°C. temperature) where it is possible to avoid refractive effects anddifferent velocities associated with light travelling in a medium, isobtained by transferring a series of such beams durations are quantifiedin relation to the number of steps of the shortest variable of theoperational step of the computing component (250). Secondly, series ofpunctuations of same radiation pulses in durations as small as theshortest variable of the operational steps are transmitted in a sequencewhere receiving of that pulse at the component (226) is synchronizedwith the emitting of the subsequent pulse from the component (224) thuseffecting optimum temporal extents (T₂) of interruptions to each of thetransmissions. In accordance with the present innovation, whileincorporating the respective temporal extents of associated processessuch as energising of the components, transfer of signals on emitting,receiving and verifications with the computing component (250) and thestatistical and probabilistic analytical engines (275) as well as due tofactors such as variations in velocities due to properties of radiation(e.g. frequency of light), formulating the interrelations and theirpatterns among T₁ and T₂ in relation to the temporal extent T₃ for theabove mentioned transmission for the distance between the components(224) and (226) as per the standard speed of light denoted c in thefield of physics are conducted. In one key aspect of the innovation, thenovel instruments that formulate these interrelations and their patternsfacilitate identifying that in relation to T₃, T₁ is the temporal extentof the transmission that has the effect of gravitational forces as it isassociated with the continuous transmission while T₂ accounts for thetransmission that is with minimum or no effect of such gravitationalforces due to the optimum interruptions in the transmissions, thusenabling establishing a simplified and practical basis for incorporatinggravitational forces into process environments at different contexts(e.g. mean sea level, at different altitudes away from earth) makingcontributions to improve useful and common technologies such as globalpositioning systems (GPS) and synchronising satellite basedcommunication.

In accordance with the present innovation, wave propagation in otherforms, including ionizing radiation can also be incorporated asquantifiable processes, with quantifiable temporal extents and,quantifiable resource utilisations and outcome, as mentioned supra.Based on the specific application of ionizing radiation (e.g. X rayimaging, Gamma ray imaging, nuclear fusion and fission based thermalenergy generation), establishing these interrelations and theirpatterns, in terms of the variable operational step of the computingcomponent (250) and the statistical and probabilistic analytical engines(275) of the process coordination system (100), making inferences ontemporal extents and quantities of introducing necessary moderatingagents (e.g. water and graphite in nuclear fission based thermal energygeneration) as well as on interrupting the radiation for collectives oftemporal states (e.g. for information processing, similar to the systemthat adopt periodic interruptions to Infrared based radiation describedabove), can be conducted, in accordance with the present innovation,facilitating process coordination.

What is described above includes only a few examples of the applicationof the subject matter of the present innovation. It is evidently notpracticable to enumerate every possible combination of compositions or,methodologies for the purpose of providing a description of the presentinnovation, but a person skilled in the art would recognise that manyfurther combinations and permutations of the innovation are possible.The present innovation is intended to embrace all such alterations,modifications and variations that come within the spirit and scope ofthe appended claims, accordingly. Furthermore, to the extent that theterm ‘includes’ is used, either in the detailed descriptions or in theclaims, such term is intended to be inclusive in a manner similar to theterm ‘comprising’ as ‘comprising’ is interpreted, when employed as atransitional word in a claim.

What is claimed is:
 1. A system that facilitates process management,comprising: a plurality of sources (150) that transfer information onoperation of a plurality of predetermined processes in a processenvironment (001) with a process coordinating component (101); and theprocess coordinating component (101) that effects a plurality ofperiodic interruptions to obtaining information on operation of at leastone of the predetermined processes that occur in durations lesser thanthe shortest variable of its variable operational step for formulatingthe information on operation of the predetermined processes upon aframework based at least in part upon the temporal unit that establisheseach of the durations of the interruptions, thereby facilitatingformulating a temporal basis for operation of the predeterminedprocesses.
 2. The system of claim (1), each of the sources (150)comprises at least one processing component (221) and a bufferingcomponent (230) that facilitates transferring data with the processcoordinating component (101).
 3. The system of claim (2), each of theprocessing components (221) at the sources (150) further comprises areference characteristic identifying component (224) that includes aconnection to a signaling component (225) that transfers signals uponcommencing and concluding of a predetermined operation to the processcoordinating component (101) for effecting variations in supply ofelectricity to at least one of the selected components in the sources(150).
 4. The system of claim (2), each of the processing components(221) at the sources (150) further comprises a reference characteristicreceiving component (226) which includes a connection to a referencecharacteristic modificating component (227) that varies the referenceadopted for analysing each of the reference characteristics; and acommunicating component (216) accompanied by a punctuation incorporationcomponent (217) for transferring data with the process coordinatingcomponent (101).
 5. The system of claim (1), the process coordinatingcomponent (101) further includes a plurality of communicating components(216) each accompanied by a punctuation incorporation component (217),and a buffering component (230) for transferring the plurality of dataon operation of processes with the plurality of sources (150).
 6. Thesystem of claim (1), the process coordinating component (101) furthercomprises a plurality of communicating components (216) each accompaniedby a punctuation incorporation component (217) connected to a bufferingcomponent (230) for transferring data with sources outside the system(100).
 7. The system of claim (1), the process coordinating component(101) further comprises a plurality of switching components (155) foractivating at least one of the selected components of the processcoordinating component upon the component (101) receiving signals from asignaling component (225).
 8. The system of claim (1), the processcoordinating component (101) further comprises a computing component(250) which employs at least one of a plurality of statistical andprobabilistic analytical engines (275) that generate inferences foraction.
 9. The system of claim (8), the computing component (250) andthe statistical and probabilistic analytical engines (275) furthercomprise a variable operational step, wherein the shortest variableoperates in a lesser duration than the smallest temporal extent of thetransition from one predetermined electrical property level to anotherpredetermined electrical property level upon effecting the variations insupply of external electrical energy in each of a plurality of elementalunits (510) in the process environment (001).
 10. The system of claim(8), the computing component (250) and the statistical and probabilisticanalytical engines (275) further effect each of the interruptions to andeach of the commencements of the obtaining information on operation ofeach of a plurality of predetermined processes in the processenvironment (001) that occurs in temporal extents lesser than theshortest variable of the variable operational step.
 11. The system ofclaim (8), the computing component (250) and the statistical andprobabilistic analytical engines (275) further effect each of theinterruptions to and each of the commencements of operation of each of aplurality of predetermined processes in the process environment (001)that occur in temporal extents lesser than the shortest variable of thevariable operational step.
 12. The system of claim (8), the computingcomponent (250) and the statistical and probabilistic analytical engines(275) further effect a plurality of variations in the predeterminedcharacteristics in each of the plurality of information on operation ofeach of a plurality of processes in the process environment (001) interms of the variable operational step.
 13. The system of claim (8), thecomputing component (250) further comprises a plurality of connectionsto a plurality of activating components (280) that effect each of theinterruptions and each of the commencements of operation of selectedprocesses at a plurality of operational units (300) in the processenvironment (001).
 14. The system of claim (13), each of a selection ofthe activating components (280) further effects variations in supply ofexternal electrical energy to each of a plurality of elemental units(510), each of a plurality of conductive units (520A) and each of aplurality of insulated conductive units (520B) based upon the inferencesof the statistical and probabilistic analytical engines (275).
 15. Thesystem of claim (13), each of a selection of the activating components(280) further comprises a plurality of connections to a plurality ofelemental units (510), to a plurality of conductive units (520A) and toa plurality of insulated conductive units (520B) that facilitateinterconnectivities.
 16. The system of claim (15), each of the pluralityof conductive units (520A) further comprises connections to at least oneelemental unit (510) for transferring a predetermined electrical chargecreated by supply of external electrical energy.
 17. The system of claim(15), each of the plurality of insulated conductive units (520B) furthercomprises connections to at least one elemental unit (510) forestablishing a predetermined electrical field upon supply of externalelectrical energy.
 18. The system of claim (15), each of the elementalunits (510) further comprises a plurality of connections to a pluralityof elemental units for forming a plurality of electricalinterconnectivities.
 19. The system of claim (13), each of theactivating components (280) further directs a plurality of returnelectrical charges generated upon each of the interruptions to thesupply of electricity to at least one of the units, components ordevices in the process environment (001).
 20. The system of claim (1),the process coordinating component (101) further comprises a pluralityof controlling components (290) that effects each of the interruptionsto and commencements of each of the selected processes at each of aplurality of selected operational units (300) based upon theinstructions of the computing component (250) and the statistical andprobabilistic analytical engines (275).
 21. The system of claim (1),each of the interruptions of operation of a process relates to aplurality of operational safety systems.
 22. The system of claim (1),each of the interruptions of operation of a process relates to aplurality of information security systems.
 23. The system of claim (1),the process coordinating component (101) further connected to aplurality of systems similar to said system (100) operating in therespective process environments.
 24. A computer-implemented method forfacilitating process coordinating, comprising: analysing a plurality ofinformation on operation of a plurality of predetermined processes in aprocess environment based at least in part upon a framework thatestablishes each of a plurality of interruptions in selected temporalextents to obtaining information on operation of at least one of thepredetermined processes that occur in durations lesser than the shortestvariable of the variable operational step of the computing component(250) and the statistical and probabilistic analytical engines (275);and providing a basis for formulating a plurality of interrelations anda plurality of patterns of the interrelations of operation of thepredetermined processes based at least in part upon the frameworkadopted for the analyses of the information.
 25. Thecomputer-implemented method of claim (24), further comprisingformulating the temporal extent of each of the interruptions to each ofthe obtaining of information on operation of the processes.
 26. Thecomputer-implemented method of claim (24), further comprisingformulating the interrelations and the patterns of the interrelations ofoperation of each of the processes; and the interrelations and thepatterns of the interrelations of each of a plurality of predeterminedassociating processes based at least in part upon the framework forestablishing the interruptions.
 27. The computer-implemented method ofclaim (24), further comprising analysing a plurality of referencecharacteristics of the information for formulating the interrelationsand patterns of the interrelations of the operation of the processes.28. The computer-implemented method of claim (24), further comprisingformulating the interrelations and patterns of interrelations of each ofthe references adopted for analysing each of the plurality of referencecharacteristics of the information obtained at each of the sources. 29.The computer-implemented method of claim (24), further comprisingeffecting each of the interruptions to and commencement of receivingeach of the selected characteristics of the information obtained at eachof the sources.
 30. The computer-implemented method of claim (24),further comprising configuring each of the plurality of elemental units(510) by providing each of a plurality of predetermined electricalfunctionalities and predetermined electrical property levels at aplurality of variable temporal extents in the configurations, wherebytransferring a plurality of electromagnetic signals is facilitated. 31.The computer-implemented method of claim (30), further comprisingeffecting variations in supply of predetermined extents of externalelectrical energy at each of a plurality of variable temporal extents ineach of the elemental units (510) in the configurations, whereby aplurality of predetermined electrical property levels are provided forfacilitating transferring a plurality of electromagnetic signals. 32.The computer-implemented method of claim (30), further comprisingeffecting variations in supply of predetermined extents of externalelectrical energy at each of a plurality of variable temporal extents ineach of the conductive units (520A) in the configurations, whereby aplurality of predetermined electrical charges are provided forfacilitating transferring a plurality of electromagnetic signals. 33.The computer-implemented method of claim (30), further comprisingeffecting variations in supply of predetermined extents of externalelectrical energy at each of a plurality of variable temporal extents ineach of the insulated conductive units (520B) in the configurations,whereby a plurality of predetermined electrical field levels areprovided for facilitating transferring a plurality of electromagneticsignals.
 34. The computer-implemented method of claim (30), furthercomprising formulating each of the electromagnetic and temporalproperties of each of the electromagnetic signals.
 35. Thecomputer-implemented method of claim (30), further comprisingformulating each of the temporal extents of each of the interruptions tothe plurality of electromagnetic signals that transmit in each of theconfigurations based at least in part upon the electromagnetic andtemporal properties of the interrupted signal.
 36. Thecomputer-implemented method of claim (30), further comprising providinga basis for establishing interrelations and their patterns offormulating of each of a predetermined levels of selected properties ateach of the temporal extents upon effecting the interruptions andresuming of operation of the processes for each of a plurality ofphysical and chemical compositions of each of the plurality ofoperational units (300) in the process environment (001).
 37. Thecomputer-implemented method of claim (36), further comprising providinga basis for establishing interrelations and their patterns offormulating of predetermined levels of the electrical properties at eachof the temporal extents upon effecting the interruptions and resumingsupply of electrical energy in variable properties for each of aplurality of material compositions of the elemental units (510), of theconductive units (520A) and of the insulated conductive units (520B).38. The computer-implemented method of claim (24), further comprisingproviding a basis for formulating interrelations and the patterns of theinterrelations of gravitational forces and operation of predeterminedprocesses.
 39. The computer-implemented method of claim (24), furthercomprising providing a plurality of bases for data handling derived uponthe interruptions to operation of each of a plurality of thepredetermined processes.
 40. The computer-implemented method of claim(39), further comprising formulating the characteristics of each of thepunctuations in the plurality of bases for data handling.
 41. Thecomputer-implemented method of claim (39), further comprisingformulating a basis for analysing information from the sources that donot establish data transfer protocols with the process coordinatingsystem (100) for formulation as data.
 42. The computer-implementedmethod of claim (39), further comprising formulating a basis forconducting error handling in data handling.
 43. A computer-executablesystem that facilitates process coordination, comprising:computer-implemented means for establishing a basis for coordination ofoperation of a plurality of predetermined processes that occur intemporal extents lesser than the shortest variable of the variableoperational step of the computing component (250) and the statisticaland probabilistic analytical engines (275) in a process environment,based at least in part upon a framework that determines each of aplurality of interruptions to obtaining information on operation of aselection of the processes; and computer-implemented means forgenerating a plurality of instructions for operating selected processesin the process environment based at least in part upon the basis forcoordination.
 44. The computer-executable system of claim (43), furthercomprising means for establishing the basis for coordination ofoperation of a plurality of predetermined processes in relation to atleast one of the selected operational units in the process environmentbased at least in part upon the framework that formulates theinterruptions.
 45. The computer-executable system of claim (43), furthercomprising means for configuring a plurality of selected operationalunits in the process environment at each of a plurality of temporalextents, whereby each of the configurations facilitates operation of aplurality of selected processes for predetermined durations.
 46. Thecomputer-executable system of claim (43), further comprising means forestablishing the basis for coordination wherein each of the temporalextents of each of the interruptions to and each of the resumptions ofoperation of the predetermined processes in the process environmentformulated as a resource, based at least in part upon the framework thatformulates the interruptions.
 47. The computer-executable system ofclaim (43), further comprising means for transferring the instructionsin a plurality of formats and with a plurality of interfaces to generatea plurality of outputs.
 48. The computer-executable system of claim(43), further comprising means for operating a plurality of networks ofselected processes in a plurality of process environments, based atleast in part upon the framework that formulates the interruptions. 49.The computer-executable system of claim (48), further comprising meansfor establishing the basis for coordination of operation of a pluralityof predetermined processes in relation to each of the respectiveresource usages and in selected operational units in operating thenetworks based at least in part upon the framework that formulates theinterruptions.
 50. The computer-executable system of claim (48), furthercomprising means for performing a plurality of technological andeconomic services in relation to time based exchanges of resources inoperating the networks based at least in part upon the framework thatformulates the interruptions.
 51. The computer-executable system ofclaim (48), further comprising means for conducting a plurality ofsafety and operational procedures in process coordination in operatingthe networks.